Data on the internet

The sun never sets on the creation of new data, since even during your night – even if fewer emails are sent, fewer videos are watched or fewer files are uploaded to the cloud – on the other side of the world the data is boosted much stronger.

Through an infographic prepared by Domo we can peek into the dizzying abyss of the amount of new data that comes to light every minute through several different platforms and technologies, using information corresponding to the United States. There, every sixty seconds, 4,416,720 GB of data is used, 188,000,000 emails are sent or 18,100,000 texts are sent.

That’s not all: 390,000 applications are downloaded per minute, Giphy serves up to 4,800,000 gifs and Neflix users play 694,444 hours of video content at the same time.

Attending to the most popular social networks, Instagram users publish 277,777 stories, YouTube users see 4,500,000 videos, tweeters publish through the 511,200 microblogging network and Skype users make 231,840 calls.

The thing does not stop there: Airbnb reserves 1,389 accommodations per minute in the US, 9,772 Uber trips are taken, Tinder users swipe 1,400,000 times and Google does 4,497,420 searches.

The previous statistics are already amazing, but consider that the global total of Internet users continues to grow by approximately 9%. This means that the current data creation rate is still scratching the surface of its maximum potential.

In fact, as the recent We Are Social report on Internet use reveals, 367 million new Internet users were added between January 2018 and January 2019, further evidence of the gigantic power of Big Data or the needs of regulation and privacy for users.

The global Internet penetration stands at 57% in 2019, which means that billions of people will use the same previous services, including many others that do not yet exist. Welcome to the era of Big Data.

Precisely, a bubble filter is, as its name implies, that universe that surrounds us when performing our searches, as a result of the customization and algorithm mechanisms, which select the results according to the information previously provided by the user. The Internet giants use our personal data – the products we have searched, the political trends we see or the websites we consume – to adjust our browsing.

In this way, the bubble filter is the result of a personalized search for which past clicks, search history or geographical location of the user have been taken into account. In this way, two phenomena occur: on the one hand, we move away from that information with which we do not sympathize or that does not match our views and isolate ourselves in that cultural and ideological bubble, since only content adjusted to Our preferences and interests.

Thus, the use of the network as a tool for empowerment, criticism and exposure of diversity is wasted, a negative side of which Eli Pariser warns and that “makes us more closed to new ideas, matters and important information”, making results invisible and generating the impression that there is nothing beyond our limited interests.

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